Big Data Complete Certification Kit Core Series For It

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Big Data Complete Certification Kit - Core Series for It

Author : Ivanka Menken
Publisher : Emereo Pty Limited
ISBN 13 : 9781486143559
Total Pages : 166 pages
Book Rating : 4.1/5 (435 download)

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Book Synopsis Big Data Complete Certification Kit - Core Series for It by : Ivanka Menken

Download or read book Big Data Complete Certification Kit - Core Series for It written by Ivanka Menken and published by Emereo Pty Limited. This book was released on 2012-09 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: We live in a data-driven world. Increasingly, the efficient operation of organizations across sectors relies on the effective use of vast amounts of data. Making sense of big data is a combination of organizations having the tools, skills and more importantly, the mindset to see data as the new 'oil' fuelling a company. Unfortunately, the technology has evolved faster than the workforce skills to make sense of it and organizations across sectors must adapt to this new reality or perish.' Andreas Weigend, Ph.D Stanford, Head of the Social Data Lab at Stanford, former Chief Scientist Amazon.com The industry is facing a bold new world with the amazing technological developments of the Cloud and Big Data, and the challenges and the opportunities this presents are unprecedented. The Big Data Complete Certification Kit serves as a complete introductory guide for anyone looking to grasp a better understanding of Big Data concepts and its practical application in any IT environment. The Art of Service's introductory Big Data training and certification helps IT practitioners develop the skills that are crucial as businesses embark on this massive transformation. It provides an industry credential for business analysts, data warehouse experts or any other IT professional to help them transform into the world of Data Science. This training and certification enables you to move both the industry and business forward and quickly take advantage of the benefits that the cloud and Big Data present. Take the next step: Get Certified! The Art of Service IT Service Management programs are the #1 certification programs in the information management industry. Being Proven means investing in yourself and formally validating your knowledge, skills, and expertise by the industry's most comprehensive learning and certification program. The Big Data Complete Certification Kit course prepares you for Big Data Certification. Why register? - Easy and Affordable - Learning about Hadoop and other Big Data technologies has never been more affordable - Latest industry trends explained - Acquire valuable skills and get updated about industry's latest trends right here. Today. - Learn from the Experts. The Art of Service offers education about Big Data and 300 other technologies by the industry's best - Learn at your Own Pace. Find everything right here when you need it and from wherever you are What will you learn? - What is Big Data? - How to Gain Insights From Big Data - Available Solutions For Big Data - Find out how Unstructured Data Can Deliver Fresh Insights - How to plan for Big Data - Big Data Cloud Analytics - Real-time Big Data - Big Data and Pricing Effectiveness - Transform Big Data Efficiently into knowledge - How to Unlock the value - Unstructured and Structured Data - Turn Big Data Into Business Value Course Outline - The topics covered in this course are: - Big Data Overview - Introduction to Big Data Analytics - Data Storage - Networking Systems - File Systems and Software - Website Systems and Software - Audio and Video Systems Contact Hours: The recommended minimum contact hours to pass the certification test is 18 hours Delivery: The program combines 10 presentations supported by trainer audio. Each module is followed by quizzes and exercises (marking scheme provided) to test your knowledge and competency, and to enhance understanding of the key concepts. A Certificate is awarded to your successful passing of the final exam (80% pass requirement) and completion of the course. This is an eLearning Program. Your access details to the eLearning course are in the book. Program Materials: - Multimedia presentations - Downloadable resources (PDF documents) - End of module review questions to assess your content knowledge

Data Mining Complete Certification Kit - Core Series for It

Author : Ivanka Menken
Publisher : Emereo Publishing
ISBN 13 : 9781488501241
Total Pages : 114 pages
Book Rating : 4.5/5 (12 download)

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Book Synopsis Data Mining Complete Certification Kit - Core Series for It by : Ivanka Menken

Download or read book Data Mining Complete Certification Kit - Core Series for It written by Ivanka Menken and published by Emereo Publishing. This book was released on 2013-09 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncover the essential tool for information management professionals known as Data Mining. The Data Mining approach aims to identify relationships and patterns among data sets. Become a valued member of your organization by learning the tools and processes of the Data Mining implementation. Data are text, numbers, or facts that can be processed by a computer. With the vast amounts of data accumulated by organizations today, it is vital for a business to ensure that this data is managed, maintained, and analyzed correctly. Data Mining can be described as the process of analyzing data from different and alternate viewpoints or perspectives, and summarizing this into information that can be used to improve financial gain and business growth. In technical terms, data mining is implemented to find patterns among large fields of data. This course would be beneficial to IT managers looking to improve data management and analysis techniques, businesses looking to improve financial gain and company growth, and data analysts investigating the processes and tools of successful Data Mining. This certification validates your knowledge of specific methods, models, and/or tools. This is essential to professionals in order to be updated on the latest multimedia trends, and to add to their Data Mining toolbox. The industry is facing a bold, new world with the amazing developments in Data Mining technology, and the challenges and the opportunities that this presents are unprecedented. The Data Mining Complete Certification Kit serves as a complete introductory guide for anyone looking to grasp a better understanding of Data Mining concepts and their practical application in any environment. The Art of Service's introductory Data Mining training and certification helps IT practitioners develop the skills that are crucial, as businesses embark on this massive transformation. It provides an industry credential for IT professionals to help them transform into the world of Data Mining. This training and certification enables you to move both the industry and business forward, and to quickly take advantage of the benefits that Data Mining applications present. Take the next step: Get Certified! The Art of Service IT Service Management programs are the #1 certification programs in the information management industry. Being proven means investing in yourself, and formally validating your knowledge, skills, and expertise by the industry's most comprehensive learning and certification program. The Data Mining Complete Certification course prepares you for Data Mining Certification. Why register? - Easy and affordable. - Learning about Data Mining technologies has never been more affordable. - Latest industry trends are explained. - Acquire valuable skills and get updated about the industry's latest trends right here. Today. - Learn from the Experts. The Art of Service offers education about Data Mining and 300 other technologies by the industry's best. - Learn at your own pace. Find everything right here, when you need it, and from wherever you are. What will you learn? - Learn the important concepts, tools, processes, and uses of Data Mining. - Learn about the benefits of implementing a Data Mining approach in information management sectors. - Examine Data patterns and relationships. - Learn about Minable Data. - Explore the usefulness of Data Mining and future predictions. Course Outline The topics covered in this course are: - Introduction to Knowledge Discovery in Databases - Introduction to Data Mining - Minable Data - Visualizing Data Patterns - Data Mining Process - Data Mining Tools - Usefulness and Future Data Mining Contact Hours: The recommended minimum contact hours to pass the certification test is 18 hours. Delivery: The program combines presentations supported by trainer audio. Each module is followed by qui

Business Analytics Complete Certification Kit - Core Series for It

Author : Ivanka Menken
Publisher : Emereo Publishing
ISBN 13 : 9781488523670
Total Pages : 124 pages
Book Rating : 4.5/5 (236 download)

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Book Synopsis Business Analytics Complete Certification Kit - Core Series for It by : Ivanka Menken

Download or read book Business Analytics Complete Certification Kit - Core Series for It written by Ivanka Menken and published by Emereo Publishing. This book was released on 2013-09 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improve business decision-making processes today with Business Analytics. Business Analytics is a vital process used by organizations to create informed business strategies though the analysis of business data. Become a valued member of your organization by learning the benefits of implementing Business Analytics applications. Business analytics (BA) pertains to the skills, technologies, applications, and practices for continuous and repetitive exploration and investigation of business performance in the past to gain insight and drive business planning. Business analytics centers on discovering new insights and understanding of business performance based on data and statistical methods. This certification kit would be beneficial to recent graduates looking to get a foothold in the IT Industry, analysts looking to improve their understanding of the business analyst role, organizations wanting to make better and more informed business decisions, as well as looking for ways to explore business data and implement statistical analysis, and managers looking to optimize business processes. This certification validates your knowledge of specific methods, models, and/or tools. This is essential to professionals in order to be updated on the latest multimedia trends, and to add to their Business Analytics toolbox. The industry is facing a bold, new world with the amazing developments of Business Analytics, and the challenges and the opportunities this presents are unprecedented. The Business Analytics Complete Certification Kit serves as a complete introductory guide for anyone looking to grasp a better understanding of Business Analytics concepts and their practical application in any environment. The Art of Service's introductory Business Analytics training and certification helps IT practitioners develop the skills that are crucial, as businesses embark on this massive transformation. It provides an industry credential for IT professionals to help them transform into the world of Business Analytics. This training and certification enables you to move both the industry and business forward, and to quickly take advantage of the benefits that Business Analytics applications present. Take the next step: Get Certified! The Art of Service IT Service Management programs are the #1 certification programs in the information management industry. Being proven means investing in yourself and formally validating your knowledge, skills, and expertise by the industry's most comprehensive learning and certification program. The Business Analytics Complete Certification Kit course prepares you for Business Analytics Certification. Why register? - Easy and affordable. - Learning about Business Analytics technologies has never been more affordable. - Latest industry trends explained. - Acquire valuable skills and get updated about the industry's latest trends right here. Today. - Learn from the Experts. The Art of Service offers education about Business Analytics and 300 other technologies by the industry's best. - Learn at your own pace. Find everything right here, when you need it, and from wherever you are. What will you learn? - Learn the important concepts, tools, applications, and uses of Business Analytics. - Identify the levels of analytics. - Learn about the role of the Business Analyst. - Examine Business Analytics techniques and software. - Explore the challenges and predicted future of Business Analytics . Course Outline The topics covered in this course are: - All About Analytics. - Levels of Analytics and the Business Analyst. - Overview of Business Analytics. - Analytics Applications. - Business Analytics Techniques. - Business Analytics Software. - Optimizing, Challenges, and Future of Business Analytics. Contact Hours: The recommended minimum contact hours to pass the certification test is 18 hours. Delive

Master Data Management Complete Certification Kit - Core Series for It

Author : Ivanka Menken
Publisher : Emereo Publishing
ISBN 13 : 9781488508073
Total Pages : 130 pages
Book Rating : 4.5/5 (8 download)

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Book Synopsis Master Data Management Complete Certification Kit - Core Series for It by : Ivanka Menken

Download or read book Master Data Management Complete Certification Kit - Core Series for It written by Ivanka Menken and published by Emereo Publishing. This book was released on 2013-09 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the answer to your data management concerns with the Master Data Management Complete Certification Kit. Master Data Management allows businesses to streamline data sharing processes by providing easy access to all vital information. Become a valued member of your organization by learning the tools, methods, strategies, and processes of the Master Data Management implementation. Master Data Management (MDM) can be described as a method of assisting organizations to link all critical data to one file called a master file. It provides a common point of reference and streamlines data sharing among personnel and departments. MDM is the process of the collection of best data management practices. MDM provides businesses with access to consistent views of the uniquely identifiable master data entities across the operational application infrastructure. Master data management controls the methods, tools, information, and services for operational services. This on-trend certification kit would be beneficial to businesses looking to reduce operational costs by implementing an effective data management strategy, management looking for a one-stop-shop for access to all critical data, and IT professionals searching for data management benefits and approaches. This certification validates your knowledge of specific methods, models, and/or tools. This is essential to professionals in order to be updated on the latest multimedia trends, and to add to their Master Data Management toolbox. The industry is facing a bold, new world with the amazing developments in Master Data Management technology, and the challenges and the opportunities that this presents are unprecedented. The Master Data Management Complete Certification Kit serves as a complete introductory guide for anyone looking to grasp a better understanding of Master Data Management concepts and their practical application in any environment. The Art of Service's introductory Master Data Management training and certification helps IT practitioners develop the skills that are crucial, as businesses embark on this massive transformation. It provides an industry credential for IT professionals to help them transform into the world of Master Data Management. This training and certification enables you to move both the industry and business forward, and to quickly take advantage of the benefits that Master Data Management applications present. Take the next step: Get Certified! The Art of Service IT Service Management programs are the #1 certification programs in the information management industry. Being proven means investing in yourself, and formally validating your knowledge, skills, and expertise by the industry's most comprehensive learning and certification program. The Master Data Management Complete Certification course prepares you for Master Data Management Certification. Why register? - Easy and affordable. - Learning about Master Data Management technologies has never been more affordable. - Latest industry trends are explained. - Acquire valuable skills and get updated about the industry's latest trends right here. Today. - Learn from the Experts. The Art of Service offers education about Master Data Management and 300 other technologies by the industry's best. - Learn at your own pace. Find everything right here, when you need it, and from wherever you are. What will you learn? - Learn the important concepts, tools, processes, and uses of MDM. - Learn about the benefits of implementing a MDM approach to data management processes. - Examine MDM information types. - Learn and review the building blocks of MDM. - Explore the MDM component layer model. - Review common myths surrounding MDM processes Course Outline The topics covered in this course are: - Enterprise and Master Data - Introduction to Master Data Management - Classification, Information Types, and App

Big Data Complete Certification Kit - Study Book and Elearning Program

Author : Larry Rose
Publisher : Emereo Publishing
ISBN 13 : 9781489120519
Total Pages : 270 pages
Book Rating : 4.1/5 (25 download)

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Book Synopsis Big Data Complete Certification Kit - Study Book and Elearning Program by : Larry Rose

Download or read book Big Data Complete Certification Kit - Study Book and Elearning Program written by Larry Rose and published by Emereo Publishing. This book was released on 2016-05-13 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-study Exam preparation guide and its accompanying online course for the Big Data Certification Exam contains everything you need to test yourself and pass the Exam. All Exam topics are covered and insider secrets, complete explanations of all Big Data subjects, test tricks and tips, numerous highly realistic sample questions, and exercises designed to strengthen understanding of Big Data concepts and prepare you for Exam success on the first attempt are provided. Included with your purchase: 1. This book 2. eLearning Course Access 3. PDF Course book 4. Exam 5. Upon successful completion of the course and exam, you will receive a personalized certificate Put your knowledge and experience to the test. Achieve Big Data Certification and accelerate your career with the included Exam. Can you imagine valuing a book and its course so much that you send the author a *Thank You* email? Tens of thousands of people understand why this is a worldwide best-seller. Is it the authors years of experience? The endless hours of ongoing research? The interviews with those who failed the Exam, to identify gaps in their knowledge? Or is it the razor-sharp focus on making sure you don't waste a single minute of your time studying any more than you absolutely have to? Actually, it's all of the above. This book and its accompanying online course includes new exercises and sample questions never before in print. Offering numerous sample questions, critical time-saving tips plus information available nowhere else, this book will help you pass the Big Data Exam on your FIRST try. How To Get Up to speed with the theory? Buy this. Read it. Do the eLearning Program. And Pass the Big Data Exam.

AWS Certified Big Data - Specialty Complete Video Course

Author : Robert Jordan
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (113 download)

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Book Synopsis AWS Certified Big Data - Specialty Complete Video Course by : Robert Jordan

Download or read book AWS Certified Big Data - Specialty Complete Video Course written by Robert Jordan and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 11.5+ Hours of Video Instruction AWS leads the world in cloud computing and big data. This course offers the complete package to help practitioners master the core skills and competencies needed to build successful, high-value big data applications, with a clear path toward passing the certification exam AWS Certified Big Data - Specialty. This course provides a solid foundation in all areas required to pass the AWS Certified Big Data Specialty Exam-including Collection, Storage, Processing, Analysis, Visualization, and Data Security. In addition, multiple quizzes and a practice exam prepare the student for the formal Certification Exam administered by AWS. Download Project Code from GitHub Download Code From GitHub Description This course provides case study-based training, designed completely around Jupyter notebook-based learning using only AWS big data technologies. Every exercise shown in this video can be run interactively by the students watching. The material exclusively focuses on AWS, with the goal of building enough foundation that the learner can achieve certification. Most companies struggle with widely varied, high-volume, and fast-moving data. After years of hype around big data, tools and infrastructure have improved to the point where companies are way beyond pilot projects and proofs-of-concept. Big data, where parallel processing is needed just to do the work, is the new normal. AWS leads the world in cloud computing and big data. This course offers a clear path toward certification by AWS on Big Data solutions, which is needed in a competitive job market. This course fills a known gap in this rapidly growing space. Skill Level Intermediate level developers What You Will Learn Students will: Learn how to perform collection tasks on AWS Learn how to use the appropriate storage solution for Big Data on AWS Learn how to perform processing tasks on the AWS platform Learn how to couple Visualization, Analysis, and Data Security to reason about Big Data on AWS Learn how to think about the AWS Big Data Certification exam to optimize for the best outcome. Who Should Take This Course You are a DevOps Engineer who wants to understand how to operationalize Big Data workloads. You are a Software Engineer who wants to master Big Data terminology and practices on AWS. You are a Machine Learning Engineer who wants to solidify their knowledge of AWS Big Data practices. You are a Product Manager who needs to understand the AWS Big Data lifec...

AWS Certified Big Data – Specialty (BDS-C01)

Author : Cybellium
Publisher : Cybellium
ISBN 13 : 1836798725
Total Pages : 224 pages
Book Rating : 4.8/5 (367 download)

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Book Synopsis AWS Certified Big Data – Specialty (BDS-C01) by : Cybellium

Download or read book AWS Certified Big Data – Specialty (BDS-C01) written by Cybellium and published by Cybellium. This book was released on with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com

MapReduce Design Patterns

Author : Donald Miner
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449341985
Total Pages : 417 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis MapReduce Design Patterns by : Donald Miner

Download or read book MapReduce Design Patterns written by Donald Miner and published by "O'Reilly Media, Inc.". This book was released on 2012-11-21 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Until now, design patterns for the MapReduce framework have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you’re using. Each pattern is explained in context, with pitfalls and caveats clearly identified to help you avoid common design mistakes when modeling your big data architecture. This book also provides a complete overview of MapReduce that explains its origins and implementations, and why design patterns are so important. All code examples are written for Hadoop. Summarization patterns: get a top-level view by summarizing and grouping data Filtering patterns: view data subsets such as records generated from one user Data organization patterns: reorganize data to work with other systems, or to make MapReduce analysis easier Join patterns: analyze different datasets together to discover interesting relationships Metapatterns: piece together several patterns to solve multi-stage problems, or to perform several analytics in the same job Input and output patterns: customize the way you use Hadoop to load or store data "A clear exposition of MapReduce programs for common data processing patterns—this book is indespensible for anyone using Hadoop." --Tom White, author of Hadoop: The Definitive Guide

Too Big to Ignore

Author : Phil Simon
Publisher : John Wiley & Sons
ISBN 13 : 1118641868
Total Pages : 256 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Too Big to Ignore by : Phil Simon

Download or read book Too Big to Ignore written by Phil Simon and published by John Wiley & Sons. This book was released on 2013-03-05 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.

CompTIA A+ Complete Practice Tests

Author : Jeff T. Parker
Publisher : John Wiley & Sons
ISBN 13 : 1119516978
Total Pages : 560 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis CompTIA A+ Complete Practice Tests by : Jeff T. Parker

Download or read book CompTIA A+ Complete Practice Tests written by Jeff T. Parker and published by John Wiley & Sons. This book was released on 2019-07-18 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Test your knowledge and know what to expect on A+ exam day CompTIA A+ Complete Practice Tests, Second Edition enables you to hone your test-taking skills, focus on challenging areas, and be thoroughly prepared to ace the exam and earn your A+ certification. This essential component of your overall study plan presents nine unique practice tests—and two 90-question bonus tests—covering 100% of the objective domains for both the 220-1001 and 220-1002 exams. Comprehensive coverage of every essential exam topic ensures that you will know what to expect on exam day and maximize your chances for success. Over 1200 practice questions on topics including hardware, networking, mobile devices, operating systems and procedures, troubleshooting, and more, lets you assess your performance and gain the confidence you need to pass the exam with flying colors. This second edition has been fully updated to reflect the latest best practices and updated exam objectives you will see on the big day. A+ certification is a crucial step in your IT career. Many businesses require this accreditation when hiring computer technicians or validating the skills of current employees. This collection of practice tests allows you to: Access the test bank in the Sybex interactive learning environment Understand the subject matter through clear and accurate answers and explanations of exam objectives Evaluate your exam knowledge and concentrate on problem areas Integrate practice tests with other Sybex review and study guides, including the CompTIA A+ Complete Study Guide and the CompTIA A+ Complete Deluxe Study Guide Practice tests are an effective way to increase comprehension, strengthen retention, and measure overall knowledge. The CompTIA A+ Complete Practice Tests, Second Edition is an indispensable part of any study plan for A+ certification.

Big Data Science & Analytics

Author : Arshdeep Bahga
Publisher : Vpt
ISBN 13 : 9780996025539
Total Pages : 544 pages
Book Rating : 4.0/5 (255 download)

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Book Synopsis Big Data Science & Analytics by : Arshdeep Bahga

Download or read book Big Data Science & Analytics written by Arshdeep Bahga and published by Vpt. This book was released on 2016-04-15 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are living in the dawn of what has been termed as the "Fourth Industrial Revolution," which is marked through the emergence of "cyber-physical systems" where software interfaces seamlessly over networks with physical systems, such as sensors, smartphones, vehicles, power grids or buildings, to create a new world of Internet of Things (IoT). Data and information are fuel of this new age where powerful analytics algorithms burn this fuel to generate decisions that are expected to create a smarter and more efficient world for all of us to live in. This new area of technology has been defined as Big Data Science and Analytics, and the industrial and academic communities are realizing this as a competitive technology that can generate significant new wealth and opportunity. Big data is defined as collections of datasets whose volume, velocity or variety is so large that it is difficult to store, manage, process and analyze the data using traditional databases and data processing tools. Big data science and analytics deals with collection, storage, processing and analysis of massive-scale data. Industry surveys, by Gartner and e-Skills, for instance, predict that there will be over 2 million job openings for engineers and scientists trained in the area of data science and analytics alone, and that the job market is in this area is growing at a 150 percent year-over-year growth rate. We have written this textbook, as part of our expanding "A Hands-On Approach"(TM) series, to meet this need at colleges and universities, and also for big data service providers who may be interested in offering a broader perspective of this emerging field to accompany their customer and developer training programs. The typical reader is expected to have completed a couple of courses in programming using traditional high-level languages at the college-level, and is either a senior or a beginning graduate student in one of the science, technology, engineering or mathematics (STEM) fields. An accompanying website for this book contains additional support for instruction and learning (www.big-data-analytics-book.com) The book is organized into three main parts, comprising a total of twelve chapters. Part I provides an introduction to big data, applications of big data, and big data science and analytics patterns and architectures. A novel data science and analytics application system design methodology is proposed and its realization through use of open-source big data frameworks is described. This methodology describes big data analytics applications as realization of the proposed Alpha, Beta, Gamma and Delta models, that comprise tools and frameworks for collecting and ingesting data from various sources into the big data analytics infrastructure, distributed filesystems and non-relational (NoSQL) databases for data storage, and processing frameworks for batch and real-time analytics. This new methodology forms the pedagogical foundation of this book. Part II introduces the reader to various tools and frameworks for big data analytics, and the architectural and programming aspects of these frameworks, with examples in Python. We describe Publish-Subscribe messaging frameworks (Kafka & Kinesis), Source-Sink connectors (Flume), Database Connectors (Sqoop), Messaging Queues (RabbitMQ, ZeroMQ, RestMQ, Amazon SQS) and custom REST, WebSocket and MQTT-based connectors. The reader is introduced to data storage, batch and real-time analysis, and interactive querying frameworks including HDFS, Hadoop, MapReduce, YARN, Pig, Oozie, Spark, Solr, HBase, Storm, Spark Streaming, Spark SQL, Hive, Amazon Redshift and Google BigQuery. Also described are serving databases (MySQL, Amazon DynamoDB, Cassandra, MongoDB) and the Django Python web framework. Part III introduces the reader to various machine learning algorithms with examples using the Spark MLlib and H2O frameworks, and visualizations using frameworks such as Lightning, Pygal and Seaborn.

Data Analysis Complete Certification Kit - Study Book and Elearning Program

Author : Anthony Pearson
Publisher : Emereo Publishing
ISBN 13 : 9781489121066
Total Pages : 384 pages
Book Rating : 4.1/5 (21 download)

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Book Synopsis Data Analysis Complete Certification Kit - Study Book and Elearning Program by : Anthony Pearson

Download or read book Data Analysis Complete Certification Kit - Study Book and Elearning Program written by Anthony Pearson and published by Emereo Publishing. This book was released on 2016-05-20 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-study Exam preparation guide and its accompanying online course for the Data analysis Certification Exam contains everything you need to test yourself and pass the Exam. All Exam topics are covered and insider secrets, complete explanations of all Data analysis subjects, test tricks and tips, numerous highly realistic sample questions, and exercises designed to strengthen understanding of Data analysis concepts and prepare you for Exam success on the first attempt are provided. Included with your purchase: 1. This book 2. eLearning Course Access 3. PDF Course book 4. Exam 5. Upon successful completion of the course and exam, you will receive a personalized certificate Put your knowledge and experience to the test. Achieve Data analysis Certification and accelerate your career with the included Exam. Can you imagine valuing a book and its course so much that you send the author a *Thank You* email? Tens of thousands of people understand why this is a worldwide best-seller. Is it the authors years of experience? The endless hours of ongoing research? The interviews with those who failed the Exam, to identify gaps in their knowledge? Or is it the razor-sharp focus on making sure you don't waste a single minute of your time studying any more than you absolutely have to? Actually, it's all of the above. This book and its accompanying online course includes new exercises and sample questions never before in print. Offering numerous sample questions, critical time-saving tips plus information available nowhere else, this book will help you pass the Data analysis Exam on your FIRST try. How To Get Up to speed with the theory? Buy this. Read it. Do the eLearning Program. And Pass the Data analysis Exam.

Data Science and Big Data Analytics

Author : EMC Education Services
Publisher : John Wiley & Sons
ISBN 13 : 1118876059
Total Pages : 432 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Data Science and Big Data Analytics by : EMC Education Services

Download or read book Data Science and Big Data Analytics written by EMC Education Services and published by John Wiley & Sons. This book was released on 2015-01-05 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!

Aws Certified Big Data Exam Cert Guide

Author : Jeffrey Aven
Publisher : Pearson It Certification
ISBN 13 : 9780789760593
Total Pages : 400 pages
Book Rating : 4.7/5 (65 download)

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Book Synopsis Aws Certified Big Data Exam Cert Guide by : Jeffrey Aven

Download or read book Aws Certified Big Data Exam Cert Guide written by Jeffrey Aven and published by Pearson It Certification. This book was released on 2020-01-04 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Big Data

Author : Hans Weber
Publisher :
ISBN 13 : 9781704795768
Total Pages : 70 pages
Book Rating : 4.7/5 (957 download)

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Book Synopsis Big Data by : Hans Weber

Download or read book Big Data written by Hans Weber and published by . This book was released on 2019-11-02 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will describe the concepts of Big Data, Data Science, Cybersecurity, and the analytics and metrics of these concepts in detail. This book will cover all the basic concepts of these technologies. In the present data-driven world, the maintenance of data is extremely important. This book will guide its readers on the impact of Big Data on the current businesses and companies, how data science is a promising new career, what is required by the data scientists these days and important languages that need to be learned in order to cope with the new requirements of the practical field of Data Science. Regarding the cybersecurity topic, this book will guide its readers, showing all the elementary theories of cybersecurity. This book includes the most famous kinds of threats and techniques used by hackers these days. It also covers the impact of cyber-security on businesses, how the impact of cyber threats can be reduced in companies, and the best practices that the companies can utilize in order to stay safe and sound over the web. All these guidelines will help small to medium-sized businesses to establish strong defense strategies for themselves. The last section of this book will explain the analytic and metrics used for big data, data science, and cybersecurity. The analytic techniques examine the IT infrastructure, whereas the metrics are responsible for measuring the well-organized performance of the company. The analytic and metrics guideline will help companies to understand their IT organization and the ways in which they can explain their performance to other individuals. By using these guidelines, any company can increase the value of their business. By using the latest technology and evaluating the company's structure, better results can be achieved in terms of the performance of the company.

Data Science in Theory and Practice

Author : Maria Cristina Mariani
Publisher : John Wiley & Sons
ISBN 13 : 1119674689
Total Pages : 404 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Data Science in Theory and Practice by : Maria Cristina Mariani

Download or read book Data Science in Theory and Practice written by Maria Cristina Mariani and published by John Wiley & Sons. This book was released on 2021-10-12 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: DATA SCIENCE IN THEORY AND PRACTICE EXPLORE THE FOUNDATIONS OF DATA SCIENCE WITH THIS INSIGHTFUL NEW RESOURCE Data Science in Theory and Practice delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various disciplines, like banking, finance, health care, bioinformatics, security, education, and social services. Written in five parts, the book examines some of the most commonly used and fundamental mathematical and statistical concepts that form the basis of data science. The authors go on to analyze various data transformation techniques useful for extracting information from raw data, long memory behavior, and predictive modeling. The book offers readers a multitude of topics all relevant to the analysis of complex data sets. Along with a robust exploration of the theory underpinning data science, it contains numerous applications to specific and practical problems. The book also provides examples of code algorithms in R and Python and provides pseudo-algorithms to port the code to any other language. Ideal for students and practitioners without a strong background in data science, readers will also learn from topics like: Analyses of foundational theoretical subjects, including the history of data science, matrix algebra and random vectors, and multivariate analysis A comprehensive examination of time series forecasting, including the different components of time series and transformations to achieve stationarity Introductions to both the R and Python programming languages, including basic data types and sample manipulations for both languages An exploration of algorithms, including how to write one and how to perform an asymptotic analysis A comprehensive discussion of several techniques for analyzing and predicting complex data sets Perfect for advanced undergraduate and graduate students in Data Science, Business Analytics, and Statistics programs, Data Science in Theory and Practice will also earn a place in the libraries of practicing data scientists, data and business analysts, and statisticians in the private sector, government, and academia.

Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)

Author : Peng Qi
Publisher : Springer Nature
ISBN 13 : 9464632380
Total Pages : 1031 pages
Book Rating : 4.4/5 (646 download)

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Book Synopsis Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023) by : Peng Qi

Download or read book Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023) written by Peng Qi and published by Springer Nature. This book was released on 2023-10-27 with total page 1031 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. Big data is a large-scale and complex data set based on modern information technology. It has the characteristics of scale and diversity, and its information processing and storage capabilities have been significantly improved. The application of big data technology is to fully mine and analyze data, build cooperation and interaction between teachers and students, encourage students to communicate and interact with teachers, and give full play to the education and teaching effect of big data. In order to improve teaching quality and efficiency as much as possible, all kinds of teaching in the new era must have strong flexibility and foresight, so as to adapt to the development of modern society. So big data will give greater flexibility to educational activities. Therefore, big data will give greater flexibility to educational activities, and more and more scholars provide new ideas for the above research directions. To sum up, we will hold an international academic conference on big data and information education. The 2023 4th International Conference on Big Data and Informatization Education (ICBDIE2023) was held on April 7–9, 2023 in Zhangjiajie, China. ICBDIE2023 is to bring together innovative academics and industrial experts in the field of Big Data and Informatization Education to a common forum. The primary goal of the conference is to promote research and developmental activities in Big Data and Informatization Education and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in international conference on Big Data and Informatization Education and related areas.